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Activity Number: 378 - Statistics in Biosciences Special Invited Papers: Genomics, Metagenomics, and Imaging
Type: Invited
Date/Time: Tuesday, August 1, 2017 : 2:00 PM to 3:50 PM
Sponsor: International Chinese Statistical Association
Abstract #322386 View Presentation
Title: Some Thoughts on Clustering and Its Applications
Author(s): Wing Hung Wong*
Companies: Stanford University

Clustering is an important and well-studied method in multivariate statistics. In recent years it has been applied to an ever-increasing array of applications involving "unsupervised learning" from data. As the complexity and size of the datasets increase, there is a need to re-examine many aspects of this method. These include 1) importance of good initialization, 2) visualization of results, 3) measuring and validating performance, 4) multi-sample analysis and 5) computational efficiency. In this talk I will review and discuss these issues based on experience in the analysis of data from several cytometry studies each of them involving tens of millions of data points in multiple dimensions (20-40).

Authors who are presenting talks have a * after their name.

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